Neural Portfolio Engine

The Synapse 100 Neural Portfolio

Rather than hard-coding a rules-based trading system, Bogatti X trains a neural process to act on the portfolio. The gradient vector — the partial derivatives of the loss with respect to each weight — points toward the steepest increase in performance; we step in the opposite direction to descend the loss and sharpen the network's edge. Every trading day, that same learning instinct scores all of the Nasdaq-100 on volatility-adjusted momentum and fires capital into its 20 strongest signals, flipping defensive the moment the QQQ regime synapse turns bearish.

Live sample performance & recent activity
YTD Return
Trailing 12M
QQQ 12M
Regime

Monthly Returns · Strategy vs QQQ

Trailing 12 months · as of —

YTD
12M Total
QQQ YTD
QQQ 12M
Alpha 12M

Recent Trades · Last 3M

Reconstructed from daily top-14 neural rotations · as of —

Trades
Closed
Open
Win Rate
Avg P/L
Best / Worst
TickerStatusBuy DateBuySell DateSell / NowDaysP/L
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Not investment advice · educational backtest · data via Yahoo Finance